arrow
Return

Sensor-aware elevator scheduling for smart building environments

delete2014-02-01
delete21
PRE
AI
O
Oh‐Hoon Kwon
E
Eunji Lee
H
Hyokyung Bahn *
DOI:10.1016/j.buildenv.2013.11.013delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
In a modern smart building, sensors can detect various physical information such as temperature, humidity, motion, and light, which can be used for smart living services. This paper presents an efficient elevator scheduling system by making use of indoor sensor technologies. Specifically, multiple sensor devices consisting of RFID, video, and floor sensors are used together to detect the candidate elevator passengers' behavior before they push the elevator call button. The detected information is then delivered to the elevator scheduling system through building networks. By using this information, our scheduling system generates a reservation call for candidate passengers and controls the moving direction and the moving time of elevator cars efficiently. Extensive simulations with various passengers' traffic conditions show that the proposed system performs significantly better than the conventional elevator scheduling system in terms of the average waiting time, the maximum waiting time, and the energy consumption of elevator systems. (C) 2013 Elsevier Ltd. All rights reserved.
Keywords:
Elevator scheduling
Sensor
Smart building
Smart living
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Building and Environment cover
Building and Environment
IF:
7.6
Papers:
1.3W
Citations:
6.6W

Organization

E
Ewha Womans University
Scholars:
1.2W
Papers: 1.1W
Citations: 1.2W
S
seoul national university (snu)
Scholars:
7.2W
Papers: 6.6W
Citations: 86